{"id":"W3088065576","doi":"10.15447//sfews.2020v18iss3art2","title":"Disease in Central Valley Salmon: Status and Lessons from Other Systems","year":2020,"lang":"en","type":"article","venue":"San Francisco Estuary and Watershed Science","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"University of California, Davis; Bureau of Reclamation; California Department of Fish and Wildlife","keywords":"Stressor; Disease; Oncorhynchus; Geography; Population; Fishery; Environmental planning; Environmental resource management; Ecology; Biology; Fish <Actinopterygii>; Environmental health; Medicine; Environmental science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001794552,0.0001319395,0.0001543108,0.00003113109,0.0002939434,0.0000647363,0.0001919739,0.00002714106,0.0001660633],"category_scores_gemma":[0.00003785467,0.0001071643,0.00001206526,0.000246222,0.001036317,0.0004792501,0.0003716992,0.00009762686,0.0000430494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003501718,"about_ca_system_score_gemma":0.0000112698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001023208,"about_ca_topic_score_gemma":0.000461384,"domain_scores_codex":[0.9985878,0.00004468179,0.0001418395,0.0005398084,0.0002041139,0.0004817011],"domain_scores_gemma":[0.9994838,0.00003324955,0.00003256498,0.0001247504,0.000002840231,0.0003227457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004838887,0.00003318508,0.9947481,0.00001436167,0.000005089236,0.00003003744,0.00293817,0.0004387198,0.0005310226,0.000185633,0.0006971382,0.0003301316],"study_design_scores_gemma":[0.0003495589,0.00005820928,0.9932376,0.00001287432,0.00001046752,2.785666e-7,0.000673479,0.003338045,0.00003826307,0.0004147375,0.001715742,0.0001507521],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943964,0.000266448,0.0001164572,0.002755317,0.0001490388,0.0002273481,0.00001451448,0.00002853684,0.002045934],"genre_scores_gemma":[0.9983174,0.0001223344,0.0001024762,0.001344133,0.00002806029,0.00001459028,0.000002526928,0.000005518015,0.00006294995],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003921005,"threshold_uncertainty_score":0.4370035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01363601325914094,"score_gpt":0.218456738138054,"score_spread":0.204820724878913,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}